Databricks Data Engineer

We are seeking a talented and passionate Databricks Data Engineer to join our expanding Microsoft Databricks this role you will be a crucial player in designing building and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-driven decision-making.

Responsibilities:

• Data Pipeline Engineering: Design develop and deploy robust and scalable data pipelines using Databricks incorporating data extraction from diverse sources (databases APIs streaming platforms) transformation and cleansing using Spark and loading into target systems (data lakes data warehouses etc.). Optimize pipeline performance for efficiency and cost-effectiveness.

• Databricks Ecosystem Expertise: Utilize the full capabilities of the Databricks platform including Databricks SQL Delta Lake Databricks Runtime and Databricks Workflows to orchestrate complex data workflows and ensure data quality and pipeline reliability.

• Cloud Integration: Seamlessly integrate Databricks with cloud services (Azure AWS or GCP) for storage compute and security leveraging services like Azure Data Lake Storage AWS S3 Google Cloud Storage and more.

• Data Architecture and Modeling: Contribute to the design and implementation of robust data models and architectures for data lakes and data warehouses ensuring data consistency integrity and accessibility for various use cases.

• Data Quality Assurance: Implement rigorous data quality checks and validation procedures throughout the data pipeline to maintain high accuracy and reliability. Adhere to data governance policies and best practices.

• Collaboration and Communication: Work closely with data scientists analysts business intelligence specialists and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices.

• Continuous Learning: Stay up to date with the latest Databricks features cloud technologies and data engineering trends to continuously improve our solutions and deliver innovative results for our clients.

Qualifications :

• Hold a University Degree in Computer Science (Business) Engineering or a specialized masters in Machine Learning or AI.

• Proven Experience: 2 years of experience as a Data Engineer with demonstrated expertise in Databricks.

• Cloud Proficiency: Hands-on experience with at least one major cloud platform (Azure AWS or GCP) with a good understanding of cloud data services and infrastructure.

• Programming Skills: Strong programming skills in Python or Scala with experience in data manipulation libraries (e.g. PySpark Spark SQL).

• Data Fundamentals: Solid understanding of data warehousing principles ETL processes data modeling techniques and database systems.

• SQL Expertise: Advanced SQL skills for data querying transformation and analysis.

• Communication Skills: Excellent communication and interpersonal skills with the ability to effectively collaborate with technical and non-technical stakeholders.

• Problem-Solving: Strong analytical and problem-solving abilities with a proactive approach to identifying and resolving data-related challenges.

• Proficiency in Dutch is a big plus.

Aanvullende informatie :

At Devoteam we invest in our people. Our benefits package includes:

• Excellent primary and secondary employment benefits (excellent salary bonus lease car laptop phone etc.).

• A personalized career development plan with specific training and certifications tailored to your field.

• Every opportunity to grow as a thought leader through knowledge sharing blogs and keynote sessions.

• The unique option to work from within Europe for 4 weeks per year.

• A vibrant internal community with knowledge sessions ranging from bi-weekly Tech Thursdays to KISSes (Knowledge & Information Sharing Sessions).

We look forward to welcoming you into our open and accessible culture! Are you ready for your next challenge Apply today!

Questions Please contact Casper Posch at .

Remote Work :

No

Employment Type :

Full-time